app.py

import gradio as gr
from transformers import pipeline

# Load the GPT-2 pipeline for text generation
classifier = pipeline("text-classification", model="gpt2")

def analyze_text(text):
    # Use the GPT-2 classifier to predict if the text is fake or true
    result = classifier(text)[0]
    
    # Extract the label and confidence score
    label = result['label']
    score = result['score']
    
    return {"Result": label, "Confidence (%)": score * 100}

# Gradio interface with soft theme
gr.Interface(analyze_text, 
             "text",
             "text",
             theme="soft"
             ).launch()